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dc.contributor.authorRodríguez Rodríguez, Ignacio
dc.contributor.authorMateo-Trujillo, J. Ignacio
dc.contributor.authorFormoso, Marco A.
dc.contributor.authorGallego-Molina, Nicolás J.
dc.contributor.authorOrtiz-García, Andrés 
dc.contributor.authorLuque-Vilaseca, Juan Luis 
dc.date.accessioned2024-05-15T11:58:55Z
dc.date.available2024-05-15T11:58:55Z
dc.date.issued2024
dc.identifier.urihttps://hdl.handle.net/10630/31291
dc.description.abstractThis study investigates the application of chaos theory and Recurrence Quantification Analysis (RQA) to EEG signals in skilled and dyslexic readers. By quantifying the nonlinear dynamics of brain activity, we aim to identify differences in the complexity and predictability of neural oscillations associated with language processing. Our results demonstrate that the recurrence plot of individuals with dyslexia exhibits higher recurrence rate, determinism, and entropy compared to control subjects. These findings suggest that brain activity around T7 (AUC 0.726), crucial for phonological processing in the dorsal route of language processing, is more repetitive, predictable, and less flexible in dyslexia. The observed patterns align with the Hickok and Poeppel’s dual-route model of language processing and support the hypothesis that dyslexia involves disruptions in the neural mechanisms underlying phonological processing and auditory-motor integration.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectComportamiento caótico en sistemases_ES
dc.subjectAprendizaje automático (Inteligencia artificial)es_ES
dc.subjectDislexiaes_ES
dc.subjectElectroencefalografíaes_ES
dc.subject.otherDyslexiaes_ES
dc.subject.otherMachine learninges_ES
dc.subject.otherRecurrence quantification analysises_ES
dc.subject.otherChaos theoryes_ES
dc.titleNonlinear Neural Dynamics of Language Processing: A Recurrence Quantification Analysis of EEG in Dyslexia.es_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.relation.eventtitleInternational Conference on Mathematical Analysis and Applications in Science and Engineeringes_ES
dc.relation.eventplacePorto, Portugales_ES
dc.relation.eventdate20 - 22 June 2024es_ES
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*


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